Solutions · Safety & Pharmacovigilance
The weight you carry isn't the collation — it's the fear of the event you didn't see in time. Health1st AI detects adverse events from source data, surfaces safety signals across sites, and reconciles SAEs and SUSARs, so your team spends its judgment on assessment and causality instead of hunting through systems.
What you own
We know how this feels
You know a reportable event can be sitting in a clinical note right now, and the clock on it is running whether or not anyone has read it yet.
And the part no one says out loud:
Where the agents fit
The grind you just read isn't abstract — each piece of it already has an agent assigned. Here's which one picks up which fight, so you can see exactly where the help lands before you commit to anything.
The pain
The AE in the note that never got captured
The agent on it
Symptom & AE Detection AgentRecognizes symptoms and adverse events in clinical notes and prompts the right assessment before they're missed.
The pain
The signal no single site can see
The agent on it
Safety Signal Detection AgentAggregates events across sites to detect safety signals and suggests medical coding for faster review.
The pain
An SAE mismatch shouldn't become a reporting failure
The agent on it
Safety Review AgentSAE and SUSAR tracking with automated reconciliation between the EDC and the safety database.
The pain
Your monitors are reviewing blind and sampled
The agent on it
Source Document Review AgentReads source documents with OCR and clinical NLP to surface review findings, each with a confidence score.
Your agentic workforce
These feature agents map most directly to safety & pharmacovigilance. Enable the ones you need, per study and per deliverable, and expand over time.
Recognizes symptoms and adverse events in clinical notes and prompts the right assessment before they're missed.
Learn moreAggregates events across sites to detect safety signals and suggests medical coding for faster review.
Learn moreSAE and SUSAR tracking with automated reconciliation between the EDC and the safety database.
Learn moreReads source documents with OCR and clinical NLP to surface review findings, each with a confidence score.
Learn moreOutcomes
Quantified targets we build toward with each engagement.
Figures shown are pre-launch targets based on internal benchmarks, not guaranteed outcomes.
Every output is grounded, reviewed, and inspection-ready
“What lets me sleep is that a potential event surfaces within a minute of the document landing, not whenever someone gets to the note. It flags; my team assesses and decides. The causality call is still ours — we just aren't finding out too late.”
Illustrative — representative of the workflows we build toward during our pre-launch pilot.
No pressure, straight answers
The doubts that usually surface before a team like yours says yes — answered plainly, including the places where the honest answer is a limit rather than a promise.
See it run on one of your own studies — no pressure, no obligation, and honest answers, including on the limits. We will walk safety & pharmacovigilance through exactly what stays under your control.
